Correlation Between BTT and CEL

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Can any of the company-specific risk be diversified away by investing in both BTT and CEL at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining BTT and CEL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BTT and CEL, you can compare the effects of market volatilities on BTT and CEL and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in BTT with a short position of CEL. Check out your portfolio center. Please also check ongoing floating volatility patterns of BTT and CEL.

Diversification Opportunities for BTT and CEL

0.0
  Correlation Coefficient
 BTT
 CEL

Pay attention - limited upside

The 3 months correlation between BTT and CEL is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding BTT and CEL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CEL and BTT is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on BTT are associated (or correlated) with CEL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CEL has no effect on the direction of BTT i.e., BTT and CEL go up and down completely randomly.

Pair Corralation between BTT and CEL

If you would invest  19.00  in CEL on December 28, 2024 and sell it today you would lose (9.00) from holding CEL or give up 47.37% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

BTT  vs.  CEL

 Performance 
       Timeline  
BTT 

Risk-Adjusted Performance

Very Weak

 
Weak
 
Strong
Over the last 90 days BTT has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound basic indicators, BTT is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.
CEL 

Risk-Adjusted Performance

Insignificant

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in CEL are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady essential indicators, CEL exhibited solid returns over the last few months and may actually be approaching a breakup point.

BTT and CEL Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with BTT and CEL

The main advantage of trading using opposite BTT and CEL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BTT position performs unexpectedly, CEL can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in CEL will offset losses from the drop in CEL's long position.
The idea behind BTT and CEL pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
Check out your portfolio center.
Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

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